Postdoctoral position in ‘Automated skin lesion detection and severity classification using image analysis and machine learning’
Unique opportunity to boost your career in Switzerland as an outstanding researcher.
We are looking for a postdoctoral researcher who is an expert in image analysis and machine learning including deep learning. This project is about developing image analysis and machine learning algorithms for the automated skin lesion detection and severity classification in dermatological diseases. We are focusing primarily on psoriasis, an autoimmune skin disease with a severe quality of life impact. A first version of the algorithm has been developed, demonstrating the feasibility of this approach, and a set of images is available to continue the development and the training of the algorithms. The project will be done in collaboration with the EPFL Lausanne and with several Swiss University Hospital for the access of medical expertise and patient image data.
This project requires excellent computational skills in general and in particular in image analysis, advanced machine learning and deep learning. Programming will be done in Matlab, R and/or Python. iOS programming skills can be advantageous in order to implement basic image recording apps for patient images.
This is a two-year postdoctoral position.
LYO-X is a Swiss company located in Basel and providing global consulting and Systems Pharmacology modelling services for the development of biologics and cell-based therapies. LYO-X has shaped a unique niche market in which it is successfully serving over 70 biopharmaceutical companies world-wide. In addition to its services LYO-X is developing its own digital health solution for dermatological and ophthalmological applications.
Application and Contact
Please send your CV, a list of your publications and a letter of motivation to email@example.com.
Software programmer for Digital Health Apps
LYO-X is developing Digital Health solutions in the areas of Dermatology and Ophthalmology. Our mobile solutions will empower patients and help them to better manage their disease. For the prototype development we are looking for talents with a diverse background in user interface design, iOS programming, and with web-server and data base programming skills. Experience in image analysis and scientific programming is desirable. This is a flexible position with a part time commitment in the beginning that would grow into a full time position.
If you are interested and would like to learn more please contact firstname.lastname@example.org
Systems Pharmacology Modelling Expert
We are looking for highly motivated individuals who want to impact how drugs are developed. If you have great computational skills and you seek a fascinating area of application LYO-X is the right place.
We seek creative individuals with a background in engineering, biophysics, mathematics, pharmacometrics or other related fields. Ideally you have had a few years of experience of working in a pharmaceutical company. If your interests are biologics and the current new drug formats such as cell based therapies; if you like to go beyond the numbers and the statistics and make sense out of the complexity not just for yourself but also for our customers you are the right candidate.
If you are interested please contact email@example.com
Systems Pharmacology Internship
We are looking for highly motivated individuals who want to impact how drugs are developed. If you have great computational skills and you seek a fascinating area of application LYO-X is the right place. Internships at LYO-X are the best way to apply your skills to real world problems.
The internship is for students at all levels including Masters, PhD and PostDoc. We seek creative individuals with a background in engineering, biophysics, mathematics or other related field. Additional knowledge in cell biology, biochemistry, pharmacology including pharmacokinetics is great but not needed at this stage. Desired programming skills are Matlab, R and Monolix.
If you are interested please submit your CV to firstname.lastname@example.org